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2023

Conference Publication

L3DMC: Lifelong learning using distillation via mixed-curvature space

Roy, Kaushik, Moghadam, Peyman and Harandi, Mehrtash (2023). L3DMC: Lifelong learning using distillation via mixed-curvature space. MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, 8–12 October 2023. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-43895-0_12

L3DMC: Lifelong learning using distillation via mixed-curvature space

2023

Conference Publication

Flashback for continual learning

Mahmoodi, Leila, Harandi, Mehrtash and Moghadam, Peyman (2023). Flashback for continual learning. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 2-6 October 2023. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICCVW60793.2023.00368

Flashback for continual learning

2022

Conference Publication

InCloud: incremental learning for point cloud place recognition

Knights, Joshua, Moghadam, Peyman, Ramezani, Milad, Sridharan, Sridha and Fookes, Clinton (2022). InCloud: incremental learning for point cloud place recognition. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 23-27 October 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iros47612.2022.9981252

InCloud: incremental learning for point cloud place recognition

2022

Conference Publication

A real-time edge-AI system for reef surveys

Li, Yang, Liu, Jiajun, Kusy, Brano, Marchant, Ross, Do, Brendan, Merz, Torsten, Crosswell, Joey, Steven, Andy, Tychsen-Smith, Lachlan, Ahmedt-Aristizabal, David, Oorloff, Jeremy, Moghadam, Peyman, Babcock, Russ, Malpani, Megha and Oerlemans, Ard (2022). A real-time edge-AI system for reef surveys. ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW Australia, 17-21 October 2022. New York, NY, USA: ACM. doi: 10.1145/3495243.3558278

A real-time edge-AI system for reef surveys

2022

Journal Article

What's in the black box? The false negative mechanisms inside object detectors

Miller, Dimity, Moghadam, Peyman, Cox, Mark, Wildie, Matt and Jurdak, Raja (2022). What's in the black box? The false negative mechanisms inside object detectors. IEEE Robotics and Automation Letters, 7 (3), 1-8. doi: 10.1109/lra.2022.3187831

What's in the black box? The false negative mechanisms inside object detectors

2022

Conference Publication

LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition

Vidanapathirana, Kavisha, Ramezani, Milad, Moghadam, Peyman, Sridharan, Sridha and Fookes, Clinton (2022). LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA United States, 23-27 May 2022. Piscataway, NJ United States: IEEE. doi: 10.1109/icra46639.2022.9811753

LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition

2022

Journal Article

A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges

Borges, Paulo, Peynot, Thierry, Liang, Sisi, Arain, Bilal, Wildie, Matthew, Minareci, Melih, Lichman, Serge, Samvedi, Garima, Sa, Inkyu, Hudson, Nicolas, Milford, Michael, Moghadam, Peyman and Corke, Peter (2022). A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges. Field Robotics, 2 (1), 1567-1627. doi: 10.55417/fr.2022049

A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges

2022

Conference Publication

Why object detectors fail: investigating the influence of the dataset

Miller, Dimity, Goode, Georgia, Bennie, Callum, Moghadam, Peyman and Jurdak, Raja (2022). Why object detectors fail: investigating the influence of the dataset. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), New Orleans, LA, United States, 19-20 June 2022. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/CVPRW56347.2022.00529

Why object detectors fail: investigating the influence of the dataset

2021

Conference Publication

Reduction of Feature Contamination for Hyper Spectral Image Classification

Mahendren, Sutharsan, Fernando, Tharindu, Sridharan, Sridha, Moghadam, Peyman and Fookes, Clinton (2021). Reduction of Feature Contamination for Hyper Spectral Image Classification. 2021 Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, QLD Australia, 29 November - 1 December 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/dicta52665.2021.9647153

Reduction of Feature Contamination for Hyper Spectral Image Classification

2021

Journal Article

Elasticity meets continuous-time: map-centric dense 3D LiDAR SLAM

Park, Chanoh, Moghadam, Peyman, Williams, Jason, Kim, Soohwan, Sridharan, Sridha and Fookes, Clinton (2021). Elasticity meets continuous-time: map-centric dense 3D LiDAR SLAM. IEEE Transactions on Robotics, 38 (2), 978-997. doi: 10.1109/tro.2021.3096650

Elasticity meets continuous-time: map-centric dense 3D LiDAR SLAM

2021

Conference Publication

Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling

Vidanapathirana, Kavisha, Moghadam, Peyman, Harwood, Ben, Zhao, Muming, Sridharan, Sridha and Fookes, Clinton (2021). Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling. 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, 30 May - 5 June 2021. Piscataway, NJ United States: IEEE. doi: 10.1109/icra48506.2021.9560915

Locus: LiDAR-based Place Recognition using Spatiotemporal Higher-Order Pooling

2021

Conference Publication

Temporally coherent embeddings for self-supervised video representation learning

Knights, Joshua, Harwood, Ben, Ward, Daniel, Vanderkop, Anthony, Mackenzie-Ross, Olivia and Moghadam, Peyman (2021). Temporally coherent embeddings for self-supervised video representation learning. International Conference on Pattern Recognition (ICPR), Milan, Italy, 10-15 January 2020. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/icpr48806.2021.9412071

Temporally coherent embeddings for self-supervised video representation learning

2021

Journal Article

Canopy density estimation in perennial horticulture crops using 3D spinning lidar SLAM

Lowe, Thomas, Moghadam, Peyman, Edwards, Everard and Williams, Jason (2021). Canopy density estimation in perennial horticulture crops using 3D spinning lidar SLAM. Journal of Field Robotics, 38 (4) rob.22006, 598-618. doi: 10.1002/rob.22006

Canopy density estimation in perennial horticulture crops using 3D spinning lidar SLAM

2021

Conference Publication

Point cloud segmentation using sparse temporal local attention

Knights, Joshua, Moghadam, Peyman, Fookes, Clinton and Sridharan, Sridha (2021). Point cloud segmentation using sparse temporal local attention. Australasian Conference on Robotics and Automation (ACRA 2021), Online, 6-8 December 2021. Sydney, NSW, Australia: Australasian Robotics and Automation Association.

Point cloud segmentation using sparse temporal local attention

2020

Conference Publication

Multi-species Seagrass Detection and Classification from Underwater Images

Raine, Scarlett, Marchant, Ross, Moghadam, Peyman, Maire, Frederic, Kettle, Brett and Kusy, Brano (2020). Multi-species Seagrass Detection and Classification from Underwater Images. 2020 Digital Image Computing: Techniques and Applications (DICTA), Melbourne, VIC Australia, 29 November - 2 December 2020. Piscataway, NJ United States: IEEE. doi: 10.1109/dicta51227.2020.9363371

Multi-species Seagrass Detection and Classification from Underwater Images

2020

Journal Article

Scalable learning for bridging the species gap in image-based plant phenotyping

Ward, Daniel and Moghadam, Peyman (2020). Scalable learning for bridging the species gap in image-based plant phenotyping. Computer Vision and Image Understanding, 197-198 103009, 103009. doi: 10.1016/j.cviu.2020.103009

Scalable learning for bridging the species gap in image-based plant phenotyping

2020

Journal Article

Spatiotemporal camera-LiDAR calibration: a targetless and structureless approach

Park, Chanoh, Moghadam, Peyman, Kim, Soohwan, Sridharan, Sridha and Fookes, Clinton (2020). Spatiotemporal camera-LiDAR calibration: a targetless and structureless approach. IEEE Robotics and Automation Letters, 5 (2) 8968361, 1556-1563. doi: 10.1109/lra.2020.2969164

Spatiotemporal camera-LiDAR calibration: a targetless and structureless approach

2020

Conference Publication

Digital Twin for the Future of Orchard Production Systems

Moghadam, Peyman, Lowe, Thomas and Edwards, Everard (2020). Digital Twin for the Future of Orchard Production Systems. The Third International Tropical Agriculture Conference TropAg 2019 , Brisbane, QLD Australia, 11-13 November 2019. Basel, Switzerland: MDPI. doi: 10.3390/proceedings2019036092

Digital Twin for the Future of Orchard Production Systems

2020

Conference Publication

Intelligent Systems for Commercial Application in Perennial Horticulture

Edwards, Everard and Moghadam, Peyman (2020). Intelligent Systems for Commercial Application in Perennial Horticulture. The Third International Tropical Agriculture Conference TropAg 2019 , Brisbane, QLD Australia, 11-13 November 2019. Basel, Switzerland: MDPI. doi: 10.3390/proceedings2019036059

Intelligent Systems for Commercial Application in Perennial Horticulture

2020

Journal Article

Thermal infrared imaging can differentiate skin temperature changes associated with intense single leg exercise, but not with delayed onset of muscle soreness

Stewart, Ian B., Moghadam, Peyman, Borg, David N., Kung, Terry, Sikka, Pavan and Minett, Geoffrey M. (2020). Thermal infrared imaging can differentiate skin temperature changes associated with intense single leg exercise, but not with delayed onset of muscle soreness. Journal of Sports Science and Medicine, 19 (3), 469-477.

Thermal infrared imaging can differentiate skin temperature changes associated with intense single leg exercise, but not with delayed onset of muscle soreness